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TechCrunch+ roundup: Technical due diligence, web3’s promise, how to hire well

TechCrunch

One of my favorite examples is in the first Harry Potter movie, when Hagrid takes Harry to Diagon Alley, the magical shopping district that introduces him (and us) to the world of wizarding. So far, web3 has not paid off on the Promise of the Premise : open source software that runs live on the blockchain. cloud servers.”

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Low-code: An Accelerator for Digital Transformation

CIO

Digital transformation is expected to be the top strategic priority for businesses of all sizes and industries, yet organisations find the transformation journey challenging due to digital skill gap, tight budget, or technology resource shortages. Amidst these challenges, organisations turn to low-code to remain competitive and agile.

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Key considerations to cancer institute’s gen AI deployment

CIO

The overhype of generative AI was unavoidable last year, yet despite all the distraction, unproven benefits, and potential pitfalls, Dana-Farber Cancer Institute CIO Naomi Lenane didn’t want to ban the technology outright. I was pleasantly surprised that people had solid examples of how to make jobs better,” she says. “No

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Lessons from the field: How Generative AI is shaping software development in 2023

CIO

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. It helps increase developer productivity and efficiency by helping developers shortcut building code.

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When your AI chatbots mess up

CIO

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete.

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Colorado AI legislation further complicates compliance equation

CIO

This is a complex and emerging technology and we need to be thoughtful in how we pursue any regulations at the state level. Robert] Rodriguez on this important issue and will review the final language of the bill when it reaches his desk,” said Eric Maruyama, the governor’s deputy press secretary. That’s legal.